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stochvolTMB

0.3.0Package record

Likelihood Estimation of Stochastic Volatility Models

0packages depend
3.3Kdownloads / year
66.3%test coverage
13/13flavors OK

Overview

About

Parameter estimation for stochastic volatility models using maximum likelihood. The latent log-volatility is integrated out of the likelihood using the Laplace approximation. The models are fitted via 'TMB' (Template Model Builder) (Kristensen, Nielsen, Berg, Skaug, and Bell (2016) doi:10.18637/jss.v070.i05).

Install

Health

CRAN checks
13OK
Slowest check: 4.3 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK12 OK2026-04-25
  • NOTE11 OK, 3 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.3.0
READMEYes · 230 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · does not mention 0.3.0Citation fileNoWebsitenot declared in DESCRIPTION
Description cites a JSS article
Help pages
13 (2 internal)
Examples that run
0%1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
13%
Documented parameters
91%
Return-value docs
75%
Help pages citing references
8% with a bibliography file

Downloads

3.3K
CRAN downloads in the past year
Rank #12,611 · ~9/day · ~275/mo
Daily download trend is not available in this view yet.
36730 days
89090 days
3.3K1 year
Compare downloads with other packages →
Also on360 r2u5 autocran

Repository

8Stars
1Forks
1Open issues
0Open PRs
3Releases
181Commits
4Commit identities
License file reads as GPL-3.0 · 181 commits · Last activity 2026-01-27
Responsiveness
How these are sampled
PRs merged (all time)
86%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
1

Stars over time

2023-01-16 · 82026-07-07 · 8
PracticesBeta

6 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/jenswahl/stochvoltmb on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows

Docs source (1)
README.Rmd
CRAN release process (1)
cran-comments.md
Lint, format, editor (2)
lintrRStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)

Installing stochvolTMB adds 27 packages (14 with compiled code, 26 MB of source tarballs). Heaviest: ggplot2 6.0 MB, data.table 5.7 MB, Rcpp 1.8 MB.

Depends (1)
R >= 3.5.0
Imports (6)
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer · added in 0.3.0

Maintainer since 0.1.0 (2020)

Listed in earlier versions (1)
no longer listed · 0.1.0 to 0.2.0
Releases (5)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • unarchivedReturned to CRAN
    2025-01-31
  • 0.3.0Latest
    record
    2025-01-31 · current release · diff ↗
  • archivedRemoved from CRAN
    2024-11-11
    issues were not corrected despite reminders
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 0.2.0
    record
    2021-08-13 · diff ↗ ·
    added 3 exports
    logit, plot_forecast, simulate_parameters
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.2
    record
    2020-09-04 · diff ↗
  • 0.1.1
    record
    2020-09-02 · diff ↗
  • 0.1.0
    record
    2020-09-02
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-09-02
Total releases
5 / 6 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
47 KB / 1 file
Download size
1.3 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("stochvolTMB")
Wahl, J. (2025). stochvolTMB: Likelihood Estimation of Stochastic Volatility Models (Version 0.3.0) [Computer software]. https://doi.org/10.32614/CRAN.package.stochvolTMB

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for stochvolTMB version 0.3.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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